Dataset Versions

v3

2022-05-10 10:29am

Generated on May 10, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 81%
21Images
Valid Set 8%
2Images
Test Set 12%
3Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Blur: Up to 2.5px
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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